×
How AI is helping cows alert farmers about births
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

AI revolutionizing Australian agriculture: Artificial intelligence is rapidly transforming farming practices in Australia, offering innovative solutions for pest control, livestock management, and resource optimization.

  • Melbourne University researchers, part of NASA’s global team, are developing AI-powered robotic arms designed to function in zero-gravity environments, showcasing the technology’s versatility and potential applications beyond Earth.

  • Associate Professor Sigfredo Fuentes from Melbourne University notes that Australian agriculture is one of the fastest adopters of AI technology, leveraging its capabilities to enhance productivity and sustainability.

AI applications in livestock management: Advanced AI systems are being employed to improve animal welfare and streamline operations in the livestock industry.

  • Sensors and cameras equipped with AI can detect illnesses in livestock before they become visible to the human eye, allowing for early intervention and treatment.

  • Dutch dairy technology company Lely has introduced the Zeta model of robotic milking machines, which use AI-powered sensors and cameras to monitor animal behavior, including detecting cows about to calve and alerting farmers when necessary.

  • At Melbourne University’s Dookie agricultural campus, a three-robot dairy system utilizes AI to monitor individual cows, control milking operations, allocate precise feed rations, and record daily milk output.

Precision agriculture and weed control: AI-powered technologies are enabling farmers to implement targeted approaches to crop management and weed control.

  • At the Dookie agricultural campus, farm manager Tim Reeks demonstrates a tractor equipped with a 36-meter-wide spray boom that uses AI to selectively target weeds, reducing chemical usage by up to 80%.

  • The system employs tiny cameras mounted on the boom arm to capture eight images per second, allowing for precise identification and spraying of weeds among crops.

  • This precision approach not only benefits the environment by reducing chemical usage but also improves crop quality and farmers’ profitability.

Water management and crop monitoring: AI-assisted programs are helping farmers make informed decisions about irrigation and crop health.

  • CSIRO’s Dr. Rose Roche and her team have developed WaterWise, an AI-powered program that uses plant-based sensing technologies and smart analytics to detect water stress in crops.

  • WaterWise, commercialized with local company Goanna Ag, enables growers to forecast optimal watering times and predict future crop water needs.

  • The technology is being utilized by Australian irrigators, including the cotton industry, and is expanding into new markets in the United States.

Emerging AI applications in agriculture: Various AI trials are underway across Australia’s farming and food processing industries, exploring new ways to enhance productivity and efficiency.

  • AI-powered drones in greenhouses can detect crop yield, identify pest outbreaks, and assist in pollination.

  • In fruit packing houses, AI technology is being used to identify overripe or defective fruit that may not be detectable to human workers.

Broader implications: As AI continues to advance and integrate into agricultural practices, it is poised to play a crucial role in addressing global food security challenges and supporting space exploration efforts.

  • The application of AI in agriculture not only improves efficiency and sustainability on Earth but also contributes to the development of technologies that may be essential for future long-term space missions and off-world food production.

  • As Professor Fuentes suggests, the intersection of agriculture, food science, and AI is likely to be a key area of focus in the coming years, with implications extending far beyond traditional farming practices.

How AI is allowing cows to send messages to farmers when they're giving birth

Recent News

Why enterprises are increasingly using small language models

The trend reflects a growing emphasis on cost-effectiveness and real-world performance in enterprise AI deployment.

Amazon gave AI features to its Fire HD 8 tablet — they still need work

Amazon's integration of AI features into its budget Fire HD 8 tablet faces performance challenges due to hardware limitations and software constraints.

How AI is democratizing the data science industry

AI tools are enabling non-technical employees to perform basic coding and data analysis tasks, potentially accelerating digital initiatives but raising new challenges in quality control and governance.